Goto

Collaborating Authors

Deep learning and AI can create different ethical issues

#artificialintelligence

Washington D.C. – In its most basic form, artificial intelligence is an algorithm that is trained to learn via the data that is fed to it. But what happens what that data is full of bias? "In traditional model building, even with good data we can introduce biases by not constructing the right variables or picking up nuances. A model is a representative of the mechanism that generated the data. So if we don't represent that mechanism correctly, then we are not forecasting correctly, but forecasting something else," explains Oliver Schabenberger, chief technology officer and executive vice president of SAS Institute Inc. to Canadian media at the Analytics Experience 2017.


Deep learning and AI can create different ethical issues

#artificialintelligence

Washington D.C. – In its most basic form, artificial intelligence is an algorithm that is trained to learn via the data that is fed to it. But what happens when that data is full of bias? "In traditional model building, even with good data we can introduce biases by not constructing the right variables or picking up nuances. A model is a representative of the mechanism that generated the data. So if we don't represent that mechanism correctly, then we are not forecasting correctly, but forecasting something else," explains Oliver Schabenberger, chief technology officer and executive vice president of SAS Institute Inc. to Canadian media at the Analytics Experience 2017.


SAS is on the brink of generation change

ZDNet

Last year, we provided a Star Trek metaphor describing SAS's evolution as we watched CEO and co-founder Dr. Jim Goodnight demonstrated how to use Alexa to query SAS. A year later, we watched a similar demo using Siri with an iPhone, giving us an idea of the heavy lift that is still required to make conversational interfaces reality.


SAS Charts AI Future, But Doesn't Forget Analytics Past

#artificialintelligence

What happens when you put a neural network in charge of a rules-based marketing automation solution? Would the AI emerge victorious, or does the human driver still have a thing or two to show the talented mimicker? It's an interesting question, to be sure, but more importantly, and it's an experiment that the folks at SAS – which still uses rules-based approaches in some of its analytics offerings -- actually ran, and the results might surprise you. "It beat our system," SAS Executive Vice President Oliver Schabenberger said during the SAS Analytics Experience conference held last week in San Diego, California. The result forced Schabenberger, who also holds the title of CTO and COO, to inquire about the cause.


SAS banking on its analytics and machine learning platform

#artificialintelligence

ORLANDO – SAS Institute Inc. is bringing more of its analytic offerings over to its analytics and machine learning platform SAS Viya. It is also launching a new Analytics-as-a-Service platform called Results-as-a-Service. To start, SAS is updating two analytics offerings, Visual Statistics and Visual Data Mining and Machine Learning, and adding three new ones in Visual Forecasting, Optimization, and Econometrics. And this is just the beginning, with the company placing Viya as an important piece in its future. SAS CTO Oliver Schabenberger emphasized at the company's Global Forum conference the'openness' message, which he says will make "analytics to be accessible to everyone." Viya plays an important role in that openness.